This is to get the data and clean them up.
# libraries --------------
# devtools::install_github("zeehio/facetscales")
library(facetscales)
library(covid19census)
library(tidyverse)
library(ggcorrplot)
library(GGally)
library(gganimate)
library(ggcorrplot)
library(broom)
library(purrr)
library(knitr)
library(kableExtra)
library(htmlwidgets)
library(plotly)
library(stringr)
theme_set(theme_bw())
logit = function(p){ log(p) - log(1-p) }
# var new to select -------
to_select<- c("date", "county", "state", "fips", "cases", "deaths", "perc_families",
"perc_family_only_onep", "perc_edu_bachelor",
"perc_withinternet", "total_pop", "perc_imm65", "total_imm65",
"total_beds", "ratio_beds", "urban",
"perc_alzheimer_dementia", "perc_asthma", "perc_atrial_fibrillation",
"perc_cancer_breast", "perc_cancer_colorectal", "perc_cancer_lung",
"perc_ch_obstructive_pulm", "perc_chronic_kidney_disease", "perc_depression",
"perc_diabetes", "perc_heart_failure", "perc_hypertension", "perc_ischemic_heart_disease", "perc_obesity", "perc_osteoporosis", "perc_rheumatoid_arthritis",
"perc_stroke", "perc_tobacco_use",
"median_income", "pm2.5", "summer_temp", "summer_hum", "winter_temp",
"winter_hum", "age65_over", "median_age", "sex_ratio", "child_dependency",
"perc_black", "perc_lat", "perc_white", "perc_asian", "perc_island",
"perc_other", "perc_two_more_races", "total_tests", "days_f0"
)
#
# # var to select old -------
# to_select <- c(
# "date",
# "county",
# "state",
# "fips",
# "cases",
# "deaths",
# "perc_families",
# "perc_familes_18childreen",
# "perc_married_couples",
#
# "perc_family_only_onep",
# # "perc_married_couples_u18ychildreen",
# # "perc_families_only_male",
# # "perc_families_only_male__18ychildreen",
# # "perc_families_only_female",
# # "perc_families_only_female__18ychildreen",
# # "perc_non_families_alone",
# # "perc_non_families_alone65y",
# # "perc_non_families_u18y",
# # "perc_non_families_65y",
# # "perc_relationship_householder",
# # "perc_relationship_spouse",
# # "perc_relationship_child",
# # "perc_relationship_other_relatives",
# # "perc_relationship_other_nonrelatives",
# # "perc_relationship_other_unmaried_part",
# # "perc_marital_status_male_nevermaried",
# # "perc_marital_status_male_maried",
# # "perc_marital_status_male_separated",
# # "perc_marital_status_male_widowed",
# # "perc_marital_status_male_divorced",
# # "perc_marital_status_female_nevermaried",
# # "perc_marital_status_female_maried",
# # "perc_marital_status_female_separated",
# # "perc_marital_status_female_widowed",
# # "perc_marital_status_female_divorced",
# "perc_enrolled_preschool",
# "perc_enrolled_kindergarden",
# "perc_enrolled_elementary",
# "perc_enrolled_highschool",
# "perc_enrolled_college",
# # "perc_edu_9grade",
# # "perc_edu_nodiploma",
# # "perc_edu_highshool",
# "perc_edu_somecollege",
# "perc_edu_associate",
# "perc_edu_bachelor",
# # "perc_edu_gradprofess",
# # "perc_edu_highshool_higher",
# # "perc_edu_batchelor_higher",
# # "perc_american",
# # "perc_arab",
# # "perc_czech",
# # "perc_danish",
# # "perc_dutch",
# # "perc_english",
# # "perc_french_except_basque",
# # "perc_french_canadian",
# # "perc_german",
# # "perc_greek",
# # "perc_hungarian",
# # "perc_irish",
# # "perc_italian",
# # "perc_lithuanian",
# # "perc_norwegian",
# # "perc_polish",
# # "perc_portuguese",
# # "perc_russian",
# # "perc_scotch_irish",
# # "perc_scottish",
# # "perc_slovak",
# # "perc_subsaharan_african",
# # "perc_swedish",
# # "perc_swiss",
# # "perc_ukrainian",
# # "perc_welsh",
# # "perc_west_indian_excluding_hispanic_origin_groups",
# # "perc_withcomputer",
# "perc_withinternet",
# "total_pop",
# "perc_imm65",
# "total_imm65",
# "total_beds",
#
# "ratio_beds",
# "urban",
# "perc_acute_myocardial_infarction",
# "perc_alzheimer_dementia",
# "perc_asthma",
# "perc_atrial_fibrillation",
# "perc_cancer_breast",
# "perc_cancer_colorectal",
# "perc_cancer_lung",
# "perc_cancer_all",
# "perc_ch_obstructive_pulm",
# "perc_chronic_kidney_disease",
# "perc_depression",
# "perc_diabetes",
# "perc_heart_failure",
# "perc_hypertension",
# "perc_ischemic_heart_disease",
# "perc_obesity",
# "perc_osteoporosis",
# "perc_rheumatoid_arthritis",
# "perc_schizophrenia_psychotic_dis",
# "perc_stroke",
# "perc_tobacco_use",
# # to many NA for these:
# # "urgent_admission",
# # "annual_wellness_visit",
# # "elective_admission",
# # "emergent_admission",
# # "other_admission",
# # perc_pneumococcal_vaccine HIGHLY CORRELATED WITH perc_imm65
# # "perc_pneumococcal_vaccine",
# # "perc_poverty",
# "median_income",
# "pm2.5",
# "summer_temp",
# "summer_hum",
# "winter_temp",
# "winter_hum",
# "age65_over",
# "median_age",
# # "median_age_male",
# # "median_age_female",
# "sex_ratio",
# # "age_dependency",
# # "old_age_dependency",
# "child_dependency",
# "perc_black",
# "perc_lat",
# "perc_white",
#
# "perc_asian",
# "perc_island",
# "perc_other",
# "perc_two_more_races",
# "total_tests",
# "days_f0"
# )
#
#
# df1 -----------------------------
df1 <- getus_all()
# df2 ------------------------------
df2 <-
df1 %>%
# calculate age65_over and perc_black, white and latinos, total tests
mutate(age65_over = rowSums(dplyr::select(., matches("perc_[6][5-9]|[7|8][0-9]")))) %>%
mutate(urban = if_else(urban == "Urban", 1, 0)) %>%
mutate(perc_black = total_black / total_pop * 100) %>%
mutate(perc_white = total_white / total_pop * 100) %>%
mutate(perc_lat = total_latino / total_pop * 100) %>%
mutate(total_tests = positive + negative) %>%
# calculate day since first case
mutate(f_date = case_when(cases >= 1 ~ date)) %>%
group_by(fips) %>%
mutate(f_date = min(f_date, na.rm = TRUE), days_f0 = as.numeric(date - f_date)) %>%
ungroup() %>%
mutate(days_f0 = if_else(is.finite(days_f0), days_f0, NA_real_)) %>%
# newly calculated-----------------------------------
# total beds in ratio
mutate(ratio_beds = total_beds/total_pop) %>%
# asian are here
mutate(perc_asian = total_asian / total_pop * 100) %>%
mutate(perc_island = total_pacific_islander / total_pop * 100) %>%
mutate(perc_native = total_native / total_pop * 100) %>%
mutate(perc_other = total_other_race / total_pop * 100) %>%
mutate(perc_two_more_races = total_two_more_races / total_pop * 100) %>%
# family with one parent together
mutate(perc_family_only_onep = perc_families_only_female + perc_families_only_male) %>%
mutate(total_imm65 = age65_over/100 *perc_imm65) %>%
# select variables ----------
dplyr::select(!!to_select) %>%
# perc divided by 100
mutate_at(vars(starts_with("perc")), function(x) x / 100) %>%
mutate(age65_over = age65_over / 100) %>%
# we remove NAs
na.omit() %>%
# at least 1 death
filter(deaths >= 1)
# all_dat -------------
all_dat <- df2 %>%
# make variables numeric
mutate_at(vars(
-date, -county, -state, -fips),
as.numeric
) %>%
# rename
# add XX_ to all the variables excepts those
rename_at(
vars(
-date, -county, -state, -fips, -cases, -deaths,
-perc_imm65, -cases, -total_pop, -total_imm65
),
~ paste0("XX_", .)
) %>%
rename_at(vars(perc_imm65, total_imm65), ~ paste0("ZZ_", .)) %>%
rename_at(vars(deaths), ~ paste0("YY_", .)) %>%
rename_at(vars(cases), ~ paste0("NC_", .)) %>%
rename_at(vars(total_pop), ~ paste0("NP_", .)) %>%
# calculate logitZZ
mutate(logitZZ_perc_imm65 = logit(ZZ_perc_imm65))
# mutate(logitZZ_total_imm65 = log(ZZ_total_imm65) - log(1 - ZZ_total_imm65))
# today_dat ------------------------------
today_dat <- all_dat %>%
filter(date == max(date))
# functions -----
logit = function(p){ log(p) - log(1-p) }
# functions ----------------------
#' get_PPScore
#'
#' Calculate propensity score and relative glm
#'
#' @param dat dataframe (need to some specific names ecc)
#' @param filt_cases threeshold of number of cases x county to be included in the analysis
#' @param form formula to use for propensity score, this is a `reformulate` expression
#' @param offset_f the offset "log(NC_cases)"
#' @param var_dep dependent variable
#' @param var_int variable of interest
#' @param quant boolean, quantile of propensity score
#' @param include_model include a glm in the datafram
#' @param verbose boolean
#' @param nation variables to reports are different for italy and us. For example Italy doesn't have counties. We need to tell the function so it produced different outputs
#' @return dataframe
#'
get_PPScore <- function(
dat = .x,
filt_cases = 1,
form = form_ps,
offset_f = "log(NC_cases)",
var_dep = "YY_deaths",
var_int = "ZZ_perc_imm65",
quant = FALSE,
include_model = FALSE,
verbose = TRUE,
nation = "us"
){
# given a covid dataframe with 1 date, it calculate effect of the indipendent variable using a propensity score
dat <- dat %>%
filter(dat$NC_cases >= !!filt_cases)
PropScoresLM <- lm(form, data = dat)
if(quant == TRUE){
dat[, "PP"] <- cut(fitted.values(PropScoresLM), 4, labels = FALSE)
} else {
dat[, "PP"] <- fitted.values(PropScoresLM)
}
form_glm <- reformulate(termlabels = c(var_int, "PP"), response = var_dep)
outcome_PP <-
# we add on the fly PP to the dataframe and we
dat %>%
glm(form_glm,
family = quasipoisson(link = "log"),
offset = eval(parse(text = offset_f)),
data = .
)
# conf.int = TRUE for confidence intervals
res <- tidy(outcome_PP, conf.int = TRUE) %>%
filter(term == !!var_int) %>%
mutate(
deaths = sum(dat$YY_deaths),
cases = sum(dat$NC_cases),
formula = deparse(formula(outcome_PP)),
PP_form = paste0(deparse(form), collapse = ""),
offset_f = offset_f,
quant = FALSE
)
if(nation == "us") {
res <-
res %>%
mutate(
n_counties = nrow(dat),
urban = sum(dat$XX_urban)
)
}
if(include_model == TRUE) {
res <- res %>%
mutate(model = list(outcome_PP))
}
if(verbose == TRUE){
message(
cat(paste0(
"\nDate ",
first(dat$date2),
":\nApplying model ",
first(res$formula),
"\noffset: ",
first(offset_f),
"\nfilt_cases = ",
filt_cases,
"!"
))
)
}
res
}
#' glm_pp
#'
#' Given a covid-19 dataframe, apply the propensity glm analysis to subset of dates, varying inclusion criteria
#' per county
#'
#' @param dat dataframe (need to some specific names ecc)
#' @param filt_cases numeric vector of threasholds of cases X county (default = 1)
#' @param form formula to use for propensity score, this is a `reformulate` expression
#' @param offset_f the offset, es "log(NC_cases)"
#' @param var_dep dependent variable, es. "YY_death"
#' @param var_int indipendent variable, es ZZ_perc_imm65"
#' @param data_term if TRUE keeps that dataframe of data used for the analysis
#' @param quant boolean, quantile of propensity score
#' @param include_model include a glm in the datafram
#' @param verbose boolean
#'
#' @return dataframe
#'
glm_pp <- function(dat,
dates_tostudy = dates_tostudy,
filt_cases,
offset_f = "log(NC_cases)",
var_dep,
var_int,
data_term = FALSE,
quant = FALSE,
include_model = FALSE,
verbose = TRUE,
...
){
# functions to apply glm ppcs model to diffenret dates in dataframe
# dat = covid dataframe
# dates_tostudy = list of dates to perform the analysis on
# filt_cases = numeric vector of threasholds of cases X county (default = 1)
# form = formula to use for propensity score this is a `reformulate` expression for the pp score (form_ps)
# offset_f = the offset of glm function ("log(NC_cases)")
# var_dep = dependent variable ("YY_death")
# var_int = variable of interest ("ZZ_perc_imm65"),
# quant = propensity score quantile (FALSE)
suppressWarnings(
zz_term <-
dat %>%
# filter(YY_deaths > 0) %>%
filter(date %in% dates_tostudy) %>%
mutate(date2 = date) %>%
nest(-date) %>%
# we repeat the date slice X number of case threeshold that we want to study
slice(rep(1:n(), each = length(filt_cases))) %>%
mutate(filt_cases_c = rep(filt_cases, nrow(.)/length(filt_cases))) %>%
mutate(fit =
map2(
data,
filt_cases_c,
get_PPScore,
form = form_ps,
offset_f = !!offset_f,
quant = !!quant,
var_int = !!var_int,
var_dep = !!var_dep,
include_model = !!include_model,
verbose = !!verbose
)
) %>%
unnest(fit))
if(data_term == FALSE){
zz_term_nd <- zz_term %>%
select(-data)
return(zz_term_nd)
}else{
return(zz_term)
}
}
ggcovid <- function(dat, x_var, filt_cases = 1, nation = "us") {
if(!x_var %in% c("date", "cases")) stop("x_var can be date or cases!")
if (x_var == "date"){
to_add <- "; cases > 0"
aes_x <- "date"
dat <- dat %>%
filter(filt_cases_c == !!filt_cases)
x_title = NULL
}
if (x_var == "cases") {
to_add <- paste0("; date ", max(dat$date))
aes_x <- "filt_cases_c"
dat <- dat %>%
filter(date == max(date))
x_title = "inclusion criteria (minimum cases)"
}
if (nation == "it") {
var_facet <- c("estimate", "deaths", "cases")
}
if (nation == "us") {
var_facet <- c("estimate", "number of counties", "urban/counties")
}
# dependent variable used in title
dep_var <- stringr::word(first(dat$formula), 1)
dat %>%
mutate(`urban/counties` = urban/n_counties) %>%
rename(`number of counties` = n_counties) %>%
pivot_longer(cols = !!var_facet,
names_to = "var_name") %>%
mutate(var_name = factor(var_name, levels = !!var_facet)) %>%
mutate(sign = if_else(p.value < 0.05, "p<0.05", "NS")) %>%
mutate(sign = factor(sign, levels = c("p<0.05", "NS"))) %>%
# mutate(std.error = if_else(var_name == "estimate", std.error, 0)) %>%
mutate_at(vars(std.error, conf.low, conf.high), ~if_else(var_name == "estimate", ., 0)) %>%
ggplot(aes_string(aes_x, "value", color = "sign", group = "term")) +
geom_line() +
geom_point() +
geom_linerange(aes(ymax = conf.high, ymin = conf.low), show.legend = FALSE) +
facet_grid(vars(var_name), scales = "free") +
scale_color_manual(values = c("NS" = "#00BFC4", "p<0.05" = "#F8766D"), drop = FALSE) +
theme(
# legend.position = "top",
legend.title = element_blank(),
legend.box.background = element_rect(colour = "black")
) +
labs(
title = paste0("Slope of ", first(dat$term), " over time"),
subtitle = paste0(dep_var, "; offset = ", first(dat$offset_f),
";\\nquantile PP = ", first(dat$quant), to_add),
x = x_title
) +
expand_limits(y = 0)
}
XX <- grep("XX", names(today_dat), value = TRUE)
XX <- XX[!XX %in% c("XX_total_beds") ]
form_ps <- reformulate(termlabels = XX, response = "logitZZ_perc_imm65")
dates_tostudy <- sort(unique(all_dat$date))[52:length(unique(all_dat$date))]
to_filt_cases <- c(1, seq(10, 100, 10))
zz_term_deaths_np <- glm_pp(dat = all_dat,
dates_tostudy = dates_tostudy,
filt_cases = to_filt_cases,
form = form_ps,
offset_f = "log(NP_total_pop)",
var_dep = "YY_deaths",
var_int = "ZZ_perc_imm65",
quant = FALSE,
data_term = FALSE,
include_model = TRUE,
verbose = TRUE
)
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
zz_term_deaths_np %>%
filter(date == max(date), filt_cases_c == 1) %>%
select(model) %>%
flatten()
## $model
##
## Call: glm(formula = form_glm, family = quasipoisson(link = "log"),
## data = ., offset = eval(parse(text = offset_f)))
##
## Coefficients:
## (Intercept) ZZ_perc_imm65 PP
## -5.252 -5.203 2.981
##
## Degrees of Freedom: 1496 Total (i.e. Null); 1494 Residual
## Null Deviance: 220000
## Residual Deviance: 199000 AIC: NA
ggcovid(zz_term_deaths_np, "date")
ggcovid(zz_term_deaths_np, "cases")
XX <- grep("XX", names(today_dat), value = TRUE)
XX <- XX[!XX %in% c("XX_total_beds") ]
form_ps <- reformulate(termlabels = XX, response = "logitZZ_perc_imm65")
dates_tostudy <- sort(unique(all_dat$date))[52:length(unique(all_dat$date))]
to_filt_cases <- c(1, seq(10, 100, 10))
zz_term_deaths_nc <- glm_pp(dat = all_dat,
dates_tostudy = dates_tostudy,
filt_cases = to_filt_cases,
form = form_ps,
offset_f = "log(NC_cases)",
var_dep = "YY_deaths",
var_int = "ZZ_perc_imm65",
quant = FALSE,
data_term = FALSE,
include_model = TRUE
)
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
zz_term_deaths_nc %>%
filter(date == max(date), filt_cases_c == 1) %>%
select(model) %>%
flatten()
## $model
##
## Call: glm(formula = form_glm, family = quasipoisson(link = "log"),
## data = ., offset = eval(parse(text = offset_f)))
##
## Coefficients:
## (Intercept) ZZ_perc_imm65 PP
## -1.9869 -1.6209 0.9153
##
## Degrees of Freedom: 1496 Total (i.e. Null); 1494 Residual
## Null Deviance: 27060
## Residual Deviance: 24700 AIC: NA
ggcovid(zz_term_deaths_nc, "date")
ggcovid(zz_term_deaths_nc, "cases")
XX <- grep("XX", names(today_dat), value = TRUE)
XX <- XX[!XX %in% c("XX_total_beds") ]
form_ps <- reformulate(termlabels = XX, response = "logitZZ_perc_imm65")
dates_tostudy <- sort(unique(all_dat$date))[52:length(unique(all_dat$date))]
to_filt_cases <- c(1, seq(10, 100, 10))
zzterm_onlyNY_deaths_np <-
all_dat %>%
filter(state == "New York") %>%
glm_pp(
dates_tostudy = dates_tostudy,
filt_cases = to_filt_cases,
form = form_ps,
offset_f = "log(NP_total_pop)",
var_dep = "YY_deaths",
var_int = "ZZ_perc_imm65",
quant = FALSE,
data_term = FALSE,
include_model = TRUE
)
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
zzterm_onlyNY_deaths_np %>%
filter(date == max(date), filt_cases_c == 1) %>%
select(model) %>%
flatten()
## $model
##
## Call: glm(formula = form_glm, family = quasipoisson(link = "log"),
## data = ., offset = eval(parse(text = offset_f)))
##
## Coefficients:
## (Intercept) ZZ_perc_imm65 PP
## 16344 -32700 8154
##
## Degrees of Freedom: 41 Total (i.e. Null); 39 Residual
## Null Deviance: 58490
## Residual Deviance: 30140 AIC: NA
ggcovid(zzterm_onlyNY_deaths_np, "date")
ggcovid(zzterm_onlyNY_deaths_np, "cases")
XX <- grep("XX", names(today_dat), value = TRUE)
XX <- XX[!XX %in% c("XX_total_beds") ]
form_ps <- reformulate(termlabels = XX, response = "ZZ_perc_imm65")
dates_tostudy <- sort(unique(all_dat$date))[52:length(unique(all_dat$date))]
to_filt_cases <- c(1, seq(10, 100, 10))
zzterm_onlyNY_deaths_nc <-
all_dat %>%
filter(state =="New York") %>%
glm_pp(
dates_tostudy = dates_tostudy,
filt_cases = to_filt_cases,
form = form_ps,
offset_f = "log(NC_cases)",
var_dep = "YY_deaths",
var_int = "ZZ_perc_imm65",
quant = FALSE,
data_term = FALSE,
include_model = TRUE
)
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
zzterm_onlyNY_deaths_nc %>%
filter(date == max(date), filt_cases_c == 1) %>%
select(model) %>%
flatten()
## $model
##
## Call: glm(formula = form_glm, family = quasipoisson(link = "log"),
## data = ., offset = eval(parse(text = offset_f)))
##
## Coefficients:
## (Intercept) ZZ_perc_imm65 PP
## 4.34 -13.87 NA
##
## Degrees of Freedom: 41 Total (i.e. Null); 40 Residual
## Null Deviance: 4316
## Residual Deviance: 1272 AIC: NA
ggcovid(zzterm_onlyNY_deaths_nc, "date")
ggcovid(zzterm_onlyNY_deaths_nc, "cases")
so the estimate is not exactly the same
zzterm_onlyNY_deaths_nc %>%
filter(date == max(date)) %>%
select(estimate)
| estimate |
|---|
| -13.86965 |
| -13.86965 |
| -13.86965 |
| -13.86965 |
| -13.87430 |
| -13.87430 |
| -13.87430 |
| -13.87430 |
| -13.88185 |
| -13.88752 |
| -13.89151 |
XX <- grep("XX", names(today_dat), value = TRUE)
XX <- XX[!XX %in% c("XX_total_beds") ]
form_ps <- reformulate(termlabels = XX, response = "logitZZ_perc_imm65")
dates_tostudy <- sort(unique(all_dat$date))[52:length(unique(all_dat$date))]
to_filt_cases <- c(1, seq(10, 100, 10))
zzterm_noNY_deaths_np <-
all_dat %>%
filter(state !="New York") %>%
glm_pp(
dates_tostudy = dates_tostudy,
filt_cases = to_filt_cases,
form = form_ps,
offset_f = "log(NP_total_pop)",
var_dep = "YY_deaths",
var_int = "ZZ_perc_imm65",
quant = FALSE,
data_term = FALSE,
include_model = TRUE
)
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
zzterm_noNY_deaths_np %>%
filter(date == max(date), filt_cases_c == 1) %>%
select(model) %>%
flatten()
## $model
##
## Call: glm(formula = form_glm, family = quasipoisson(link = "log"),
## data = ., offset = eval(parse(text = offset_f)))
##
## Coefficients:
## (Intercept) ZZ_perc_imm65 PP
## -7.9954 -0.3283 1.0992
##
## Degrees of Freedom: 1454 Total (i.e. Null); 1452 Residual
## Null Deviance: 90100
## Residual Deviance: 85670 AIC: NA
ggcovid(zzterm_noNY_deaths_np, "date")
ggcovid(zzterm_noNY_deaths_np, "cases")
XX <- grep("XX", names(today_dat), value = TRUE)
XX <- XX[!XX %in% c("XX_total_beds") ]
form_ps <- reformulate(termlabels = XX, response = "logitZZ_perc_imm65")
dates_tostudy <- sort(unique(all_dat$date))[52:length(unique(all_dat$date))]
to_filt_cases <- c(1, seq(10, 100, 10))
zzterm_noNY_deaths_nc <-
all_dat %>%
filter(state != "New York") %>%
glm_pp(
dates_tostudy = dates_tostudy,
filt_cases = to_filt_cases,
form = form_ps,
offset_f = "log(NC_cases)",
var_dep = "YY_deaths",
var_int = "ZZ_perc_imm65",
quant = FALSE,
data_term = FALSE,
include_model = TRUE
)
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
zzterm_noNY_deaths_nc %>%
filter(date == max(date), filt_cases_c == 1) %>%
select(model) %>%
flatten()
## $model
##
## Call: glm(formula = form_glm, family = quasipoisson(link = "log"),
## data = ., offset = eval(parse(text = offset_f)))
##
## Coefficients:
## (Intercept) ZZ_perc_imm65 PP
## -3.4318 1.1202 0.1087
##
## Degrees of Freedom: 1454 Total (i.e. Null); 1452 Residual
## Null Deviance: 19770
## Residual Deviance: 19060 AIC: NA
ggcovid(zzterm_noNY_deaths_nc, "date")
ggcovid(zzterm_noNY_deaths_nc, "cases")
With this we check the actual data to make sure that the function actually took all but NYS. We just take the last day and we filter per counties > 0
no_ny_check <-
all_dat %>%
filter(state !="New York") %>%
glm_pp(
dates_tostudy = max(all_dat$date),
filt_cases = 1,
form = form_ps,
offset_f = "log(NC_cases)",
var_dep = "YY_deaths",
var_int = "ZZ_perc_imm65",
quant = FALSE,
data_term = TRUE,
include_model = TRUE,
verbose = FALSE
)
data_no_ny_check <- no_ny_check$data[[1]]
unique(data_no_ny_check$state)
## [1] "Alabama" "Arizona" "Arkansas" "California"
## [5] "Colorado" "Connecticut" "Delaware" "Florida"
## [9] "Georgia" "Idaho" "Illinois" "Indiana"
## [13] "Iowa" "Kansas" "Kentucky" "Louisiana"
## [17] "Maine" "Maryland" "Massachusetts" "Michigan"
## [21] "Minnesota" "Mississippi" "Missouri" "Montana"
## [25] "Nebraska" "Nevada" "New Hampshire" "New Jersey"
## [29] "New Mexico" "North Carolina" "North Dakota" "Ohio"
## [33] "Oklahoma" "Oregon" "Pennsylvania" "South Carolina"
## [37] "South Dakota" "Tennessee" "Texas" "Utah"
## [41] "Vermont" "Virginia" "Washington" "West Virginia"
## [45] "Wisconsin" "Wyoming"
no_ny_check$formula
## [1] "YY_deaths ~ ZZ_perc_imm65 + PP"
XX <- grep("XX", names(today_dat), value = TRUE)
XX <- XX[!XX %in% c("XX_total_beds") ]
form_ps <- reformulate(termlabels = XX, response = "logitZZ_perc_imm65")
dates_tostudy <- sort(unique(all_dat$date))[52:length(unique(all_dat$date))]
to_filt_cases <- c(1, seq(10, 100, 10))
zz_term_cases_np <-
all_dat %>%
glm_pp(
dates_tostudy = dates_tostudy,
filt_cases = to_filt_cases,
form = form_ps,
offset_f = "log(NP_total_pop)",
var_dep = "NC_cases",
var_int = "ZZ_perc_imm65",
quant = FALSE,
data_term = TRUE,
include_model = TRUE,
verbose = TRUE
)
##
## Date 2020-04-20:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-20:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-20:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-20:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-20:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-20:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-20:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-20:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-20:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-20:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-20:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-21:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-21:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-21:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-21:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-21:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-21:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-21:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-21:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-21:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-21:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-21:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-22:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-22:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-22:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-22:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-22:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-22:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-22:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-22:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-22:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-22:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-22:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-23:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-23:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-23:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-23:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-23:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-23:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-23:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-23:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-23:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-23:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-23:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-24:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-24:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-24:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-24:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-24:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-24:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-24:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-24:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-24:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-24:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-24:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-25:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-25:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-25:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-25:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-25:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-25:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-25:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-25:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-25:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-25:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-25:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-26:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-26:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-26:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-26:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-26:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-26:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-26:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-26:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-26:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-26:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-26:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-27:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-27:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-27:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-27:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-27:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-27:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-27:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-27:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-27:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-27:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-27:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-28:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-28:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-28:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-28:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-28:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-28:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-28:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-28:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-28:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-28:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-28:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-29:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-29:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-29:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-29:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-29:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-29:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-29:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-29:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-29:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-29:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-29:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-30:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-30:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-30:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-30:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-30:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-30:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-30:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-30:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-30:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-30:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-30:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-01:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-01:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-01:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-01:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-01:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-01:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-01:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-01:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-01:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-01:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-01:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-02:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-02:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-02:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-02:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-02:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-02:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-02:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-02:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-02:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-02:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-02:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-03:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-03:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-03:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-03:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-03:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-03:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-03:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-03:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-03:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-03:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-03:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-04:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-04:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-04:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-04:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-04:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-04:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-04:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-04:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-04:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-04:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-04:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-05:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-05:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-05:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-05:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-05:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-05:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-05:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-05:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-05:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-05:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-05:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-06:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-06:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-06:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-06:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-06:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-06:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-06:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-06:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-06:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-06:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-06:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-07:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-07:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-07:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-07:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-07:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-07:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-07:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-07:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-07:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-07:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-07:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-08:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-08:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-08:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-08:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-08:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-08:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-08:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-08:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-08:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-08:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-08:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-09:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-09:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-09:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-09:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-09:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-09:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-09:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-09:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-09:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-09:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-09:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-10:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-10:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-10:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-10:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-10:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-10:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-10:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-10:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-10:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-10:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-10:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-11:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-11:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-11:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-11:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-11:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-11:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-11:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-11:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-11:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-11:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-11:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-12:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-12:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-12:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-12:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-12:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-12:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-12:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-12:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-12:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-12:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-12:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-13:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-13:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-13:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-13:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-13:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-13:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-13:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-13:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-13:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-13:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-13:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-14:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-14:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-14:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-14:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-14:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-14:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-14:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-14:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-14:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-14:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-14:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-15:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-15:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-15:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-15:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-15:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-15:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-15:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-15:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-15:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-15:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-15:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-16:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-16:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-16:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-16:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-16:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-16:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-16:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-16:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-16:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-16:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-16:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-17:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-17:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-17:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-17:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-17:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-17:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-17:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-17:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-17:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-17:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-17:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-18:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-18:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-18:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-18:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-18:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-18:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-18:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-18:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-18:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-18:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-18:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-19:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-19:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-19:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-19:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-19:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-19:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-19:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-19:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-19:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-19:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-19:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-20:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-20:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-20:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-20:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-20:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-20:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-20:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-20:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-20:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-20:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-20:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-21:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-21:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-21:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-21:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-21:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-21:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-21:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-21:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-21:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-21:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-21:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-22:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-22:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-22:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-22:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-22:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-22:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-22:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-22:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-22:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-22:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-22:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-23:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-23:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-23:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-23:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-23:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-23:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-23:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-23:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-23:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-23:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-23:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-24:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-24:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-24:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-24:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-24:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-24:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-24:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-24:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-24:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-24:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-24:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-25:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-25:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-25:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-25:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-25:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-25:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-25:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-25:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-25:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-25:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-25:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-26:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-26:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-26:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-26:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-26:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-26:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-26:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-26:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-26:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-26:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-26:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-27:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-27:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-27:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-27:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-27:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-27:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-27:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-27:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-27:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-27:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-27:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-28:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-28:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-28:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-28:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-28:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-28:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-28:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-28:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-28:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-28:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-28:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
zz_term_cases_np %>%
filter(date == max(date), filt_cases_c == 1) %>%
select(model) %>%
flatten()
## $model
##
## Call: glm(formula = form_glm, family = quasipoisson(link = "log"),
## data = ., offset = eval(parse(text = offset_f)))
##
## Coefficients:
## (Intercept) ZZ_perc_imm65 PP
## -3.670 -2.768 1.772
##
## Degrees of Freedom: 1496 Total (i.e. Null); 1494 Residual
## Null Deviance: 2209000
## Residual Deviance: 2070000 AIC: NA
ggcovid(zz_term_cases_np, "date")
ggcovid(zz_term_cases_np, "cases")
XX <- grep("XX", names(today_dat), value = TRUE)
XX <- XX[!XX %in% c("XX_total_beds") ]
form_ps <- reformulate(termlabels = XX, response = "logitZZ_perc_imm65")
dates_tostudy <- sort(unique(all_dat$date))[52:length(unique(all_dat$date))]
to_filt_cases <- c(1, seq(10, 100, 10))
zz_term_noNY_cases_np <-
all_dat %>%
filter(state != "New York") %>%
glm_pp(
dates_tostudy = dates_tostudy,
filt_cases = to_filt_cases,
form = form_ps,
offset_f = "log(NP_total_pop)",
var_dep = "NC_cases",
var_int = "ZZ_perc_imm65",
quant = FALSE,
data_term = TRUE,
include_model = TRUE,
verbose = TRUE
)
##
## Date 2020-04-20:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-20:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-20:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-20:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-20:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-20:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-20:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-20:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-20:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-20:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-20:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-21:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-21:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-21:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-21:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-21:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-21:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-21:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-21:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-21:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-21:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-21:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-22:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-22:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-22:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-22:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-22:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-22:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-22:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-22:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-22:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-22:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-22:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-23:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-23:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-23:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-23:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-23:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-23:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-23:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-23:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-23:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-23:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-23:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-24:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-24:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-24:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-24:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-24:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-24:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-24:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-24:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-24:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-24:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-24:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-25:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-25:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-25:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-25:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-25:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-25:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-25:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-25:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-25:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-25:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-25:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-26:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-26:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-26:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-26:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-26:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-26:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-26:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-26:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-26:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-26:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-26:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-27:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-27:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-27:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-27:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-27:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-27:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-27:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-27:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-27:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-27:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-27:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-28:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-28:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-28:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-28:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-28:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-28:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-28:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-28:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-28:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-28:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-28:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-29:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-29:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-29:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-29:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-29:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-29:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-29:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-29:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-29:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-29:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-29:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-30:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-30:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-30:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-30:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-30:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-30:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-30:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-30:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-30:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-30:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-30:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-01:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-01:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-01:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-01:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-01:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-01:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-01:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-01:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-01:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-01:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-01:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-02:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-02:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-02:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-02:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-02:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-02:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-02:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-02:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-02:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-02:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-02:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-03:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-03:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-03:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-03:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-03:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-03:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-03:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-03:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-03:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-03:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-03:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-04:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-04:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-04:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-04:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-04:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-04:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-04:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-04:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-04:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-04:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-04:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-05:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-05:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-05:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-05:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-05:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-05:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-05:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-05:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-05:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-05:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-05:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-06:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-06:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-06:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-06:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-06:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-06:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-06:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-06:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-06:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-06:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-06:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-07:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-07:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-07:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-07:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-07:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-07:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-07:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-07:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-07:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-07:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-07:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-08:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-08:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-08:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-08:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-08:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-08:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-08:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-08:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-08:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-08:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-08:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-09:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-09:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-09:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-09:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-09:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-09:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-09:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-09:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-09:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-09:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-09:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-10:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-10:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-10:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-10:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-10:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-10:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-10:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-10:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-10:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-10:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-10:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-11:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-11:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-11:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-11:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-11:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-11:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-11:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-11:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-11:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-11:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-11:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-12:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-12:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-12:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-12:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-12:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-12:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-12:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-12:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-12:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-12:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-12:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-13:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-13:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-13:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-13:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-13:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-13:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-13:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-13:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-13:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-13:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-13:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-14:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-14:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-14:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-14:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-14:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-14:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-14:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-14:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-14:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-14:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-14:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-15:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-15:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-15:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-15:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-15:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-15:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-15:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-15:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-15:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-15:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-15:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-16:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-16:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-16:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-16:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-16:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-16:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-16:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-16:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-16:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-16:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-16:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-17:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-17:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-17:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-17:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-17:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-17:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-17:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-17:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-17:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-17:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-17:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-18:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-18:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-18:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-18:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-18:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-18:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-18:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-18:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-18:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-18:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-18:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-19:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-19:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-19:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-19:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-19:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-19:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-19:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-19:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-19:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-19:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-19:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-20:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-20:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-20:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-20:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-20:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-20:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-20:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-20:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-20:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-20:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-20:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-21:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-21:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-21:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-21:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-21:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-21:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-21:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-21:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-21:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-21:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-21:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-22:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-22:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-22:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-22:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-22:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-22:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-22:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-22:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-22:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-22:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-22:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-23:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-23:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-23:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-23:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-23:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-23:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-23:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-23:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-23:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-23:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-23:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-24:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-24:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-24:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-24:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-24:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-24:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-24:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-24:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-24:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-24:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-24:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-25:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-25:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-25:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-25:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-25:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-25:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-25:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-25:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-25:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-25:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-25:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-26:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-26:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-26:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-26:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-26:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-26:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-26:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-26:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-26:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-26:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-26:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-27:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-27:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-27:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-27:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-27:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-27:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-27:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-27:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-27:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-27:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-27:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-28:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-28:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-28:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-28:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-28:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-28:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-28:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-28:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-28:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-28:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-28:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
zz_term_noNY_cases_np %>%
filter(date == max(date), filt_cases_c == 1) %>%
select(model) %>%
flatten()
## $model
##
## Call: glm(formula = form_glm, family = quasipoisson(link = "log"),
## data = ., offset = eval(parse(text = offset_f)))
##
## Coefficients:
## (Intercept) ZZ_perc_imm65 PP
## -4.6726 -1.2367 0.8905
##
## Degrees of Freedom: 1454 Total (i.e. Null); 1452 Residual
## Null Deviance: 1063000
## Residual Deviance: 1030000 AIC: NA
ggcovid(zz_term_noNY_cases_np, "date")
XX <- grep("XX", names(today_dat), value = TRUE)
XX <- XX[!XX %in% c("XX_total_beds", "XX_pm2.5")]
XX <- c("ZZ_perc_imm65", XX )
form_ps <- reformulate(termlabels = XX, response = "XX_pm2.5")
dates_tostudy <- sort(unique(all_dat$date))[52:length(unique(all_dat$date))]
to_filt_cases <- c(1, seq(10, 100, 10))
pm2.5_deaths_np <-
all_dat %>%
glm_pp(
dates_tostudy = dates_tostudy,
filt_cases = to_filt_cases,
form = form_ps,
offset_f = "log(NP_total_pop)",
var_dep = "YY_deaths",
var_int = "XX_pm2.5",
quant = FALSE,
data_term = FALSE,
include_model = TRUE,
verbose = TRUE
)
##
## Date 2020-04-20:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 10!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 20!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 30!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 40!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 50!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 60!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 70!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 80!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 90!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ XX_pm2.5 + PP
## offset: log(NP_total_pop)
## filt_cases = 100!
##
pm2.5_deaths_np %>%
filter(date == max(date), filt_cases_c == 1) %>%
select(model) %>%
flatten()
## $model
##
## Call: glm(formula = form_glm, family = quasipoisson(link = "log"),
## data = ., offset = eval(parse(text = offset_f)))
##
## Coefficients:
## (Intercept) XX_pm2.5 PP
## -9.6995 0.2114 -0.0516
##
## Degrees of Freedom: 1496 Total (i.e. Null); 1494 Residual
## Null Deviance: 220000
## Residual Deviance: 202100 AIC: NA
ggcovid(pm2.5_deaths_np, "date")
with logit doesnt fit
XX <- grep("XX", names(today_dat), value = TRUE)
XX <- XX[!XX %in% c("XX_total_beds", "XX_perc_black")]
XX <- c("ZZ_perc_imm65", XX )
form_ps <- reformulate(termlabels = XX, response = "XX_perc_black")
dates_tostudy <- sort(unique(all_dat$date))[52:length(unique(all_dat$date))]
to_filt_cases <- 1
black_deaths_np <-
all_dat %>%
mutate(logitXX_perc_black = logit(XX_perc_black)) %>%
glm_pp(
dates_tostudy = dates_tostudy,
filt_cases = to_filt_cases,
form = form_ps,
offset_f = "log(NP_total_pop)",
var_dep = "NC_cases",
var_int = "XX_perc_black",
quant = FALSE,
data_term = FALSE,
include_model = TRUE,
verbose = TRUE
)
##
## Date 2020-04-20:
## Applying model NC_cases ~ XX_perc_black + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-21:
## Applying model NC_cases ~ XX_perc_black + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-22:
## Applying model NC_cases ~ XX_perc_black + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-23:
## Applying model NC_cases ~ XX_perc_black + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-24:
## Applying model NC_cases ~ XX_perc_black + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-25:
## Applying model NC_cases ~ XX_perc_black + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-26:
## Applying model NC_cases ~ XX_perc_black + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-27:
## Applying model NC_cases ~ XX_perc_black + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-28:
## Applying model NC_cases ~ XX_perc_black + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-29:
## Applying model NC_cases ~ XX_perc_black + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-30:
## Applying model NC_cases ~ XX_perc_black + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-01:
## Applying model NC_cases ~ XX_perc_black + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-02:
## Applying model NC_cases ~ XX_perc_black + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-03:
## Applying model NC_cases ~ XX_perc_black + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-04:
## Applying model NC_cases ~ XX_perc_black + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-05:
## Applying model NC_cases ~ XX_perc_black + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-06:
## Applying model NC_cases ~ XX_perc_black + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-07:
## Applying model NC_cases ~ XX_perc_black + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-08:
## Applying model NC_cases ~ XX_perc_black + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-09:
## Applying model NC_cases ~ XX_perc_black + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-10:
## Applying model NC_cases ~ XX_perc_black + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-11:
## Applying model NC_cases ~ XX_perc_black + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-12:
## Applying model NC_cases ~ XX_perc_black + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-13:
## Applying model NC_cases ~ XX_perc_black + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-14:
## Applying model NC_cases ~ XX_perc_black + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-15:
## Applying model NC_cases ~ XX_perc_black + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-16:
## Applying model NC_cases ~ XX_perc_black + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-17:
## Applying model NC_cases ~ XX_perc_black + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-18:
## Applying model NC_cases ~ XX_perc_black + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-19:
## Applying model NC_cases ~ XX_perc_black + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-20:
## Applying model NC_cases ~ XX_perc_black + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-21:
## Applying model NC_cases ~ XX_perc_black + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-22:
## Applying model NC_cases ~ XX_perc_black + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-23:
## Applying model NC_cases ~ XX_perc_black + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-24:
## Applying model NC_cases ~ XX_perc_black + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-25:
## Applying model NC_cases ~ XX_perc_black + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-26:
## Applying model NC_cases ~ XX_perc_black + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-27:
## Applying model NC_cases ~ XX_perc_black + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-28:
## Applying model NC_cases ~ XX_perc_black + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
black_deaths_np %>%
filter(date == max(date), filt_cases_c == 1) %>%
select(model) %>%
flatten()
## $model
##
## Call: glm(formula = form_glm, family = quasipoisson(link = "log"),
## data = ., offset = eval(parse(text = offset_f)))
##
## Coefficients:
## (Intercept) XX_perc_black PP
## -5.338 2.883 -1.560
##
## Degrees of Freedom: 1496 Total (i.e. Null); 1494 Residual
## Null Deviance: 2209000
## Residual Deviance: 2148000 AIC: NA
ggcovid(black_deaths_np, "date")
### Positive control income ????
XX <- grep("XX", names(today_dat), value = TRUE)
XX <- XX[!XX %in% c("XX_total_beds", "XX_median_income")]
XX <- c("ZZ_perc_imm65", XX )
form_ps <- reformulate(termlabels = XX, response = "XX_median_income")
dates_tostudy <- sort(unique(all_dat$date))[52:length(unique(all_dat$date))]
to_filt_cases <- c(1, seq(10, 100, 10))
income_deaths_np <-
all_dat %>%
glm_pp(
dates_tostudy = dates_tostudy,
filt_cases = to_filt_cases,
form = form_ps,
offset_f = "log(NC_cases)",
var_dep = "YY_deaths",
var_int = "XX_median_income",
quant = FALSE,
data_term = FALSE,
include_model = TRUE,
verbose = TRUE
)
##
## Date 2020-04-20:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 10!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 20!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 30!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 40!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 50!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 60!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 70!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 80!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 90!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ XX_median_income + PP
## offset: log(NC_cases)
## filt_cases = 100!
##
income_deaths_np %>%
filter(date == max(date), filt_cases_c == 1) %>%
select(model) %>%
flatten()
## $model
##
## Call: glm(formula = form_glm, family = quasipoisson(link = "log"),
## data = ., offset = eval(parse(text = offset_f)))
##
## Coefficients:
## (Intercept) XX_median_income PP
## -2.842e+00 2.097e-05 -2.156e-05
##
## Degrees of Freedom: 1496 Total (i.e. Null); 1494 Residual
## Null Deviance: 27060
## Residual Deviance: 24270 AIC: NA
ggcovid(income_deaths_np, "date")
dat_it <- getit_all() %>%
mutate_at(vars(imm65, chronic_diab, chronic_bronc, chronic_hyp), function(x) x / 100) %>%
mutate(logitZZ_perc_imm65 = logit(imm65))
## Italy COVID-19 data up to 2020-05-29 17:00:00 successfully retrived!
today_dat_it <- dat_it %>%
filter(date == max(date))
dat_it_cl <- dat_it %>%
rename_at(vars(imm65), ~ paste0("ZZ_perc_", .)) %>%
rename_at(vars(pop_km2, lat, chronic_diab, chronic_bronc, chronic_hyp), ~paste0("XX_", .)) %>%
rename_at(vars(total_cases), ~("NC_cases")) %>%
rename_at(vars(pop_tot), ~("NP_total_pop")) %>%
rename_at(vars(deaths), ~("YY_deaths"))
XX <- grep("XX", names(dat_it_cl), value = TRUE)
# XX <- XX[!XX %in% c("XX_total_beds") ]
dates_tostudy <- sort(unique(dat_it_cl$date))[52:length(unique(dat_it_cl$date))]
to_filt_cases <- 1
form_ps <- reformulate(termlabels = XX, response = "logitZZ_perc_imm65")
perc_imm65_deahts_pop <- glm_pp(dat = dat_it_cl,
dates_tostudy = dates_tostudy,
filt_cases = to_filt_cases,
form = form_ps,
offset_f = "log(NP_total_pop)",
var_dep = "YY_deaths",
var_int = "ZZ_perc_imm65",
quant = FALSE,
data_term = FALSE,
include_model = TRUE,
verbose = TRUE,
nation = "it"
)
##
## Date 2020-04-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
ggcovid(perc_imm65_deahts_pop, "date", nation = "it")
XX <- grep("XX", names(dat_it_cl), value = TRUE)
# XX <- XX[!XX %in% c("XX_total_beds") ]
dates_tostudy <- sort(unique(dat_it_cl$date))[52:length(unique(dat_it_cl$date))]
to_filt_cases <- 1
form_ps <- reformulate(termlabels = XX, response = "logitZZ_perc_imm65")
perc_imm65_deahts_cases <- glm_pp(dat = dat_it_cl,
dates_tostudy = dates_tostudy,
filt_cases = to_filt_cases,
form = form_ps,
offset_f = "log(NC_cases)",
var_dep = "YY_deaths",
var_int = "ZZ_perc_imm65",
quant = FALSE,
data_term = FALSE,
include_model = TRUE,
verbose = TRUE,
nation = "it"
)
##
## Date 2020-04-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-04-30:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-01:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-02:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-03:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-04:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-05:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-06:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-07:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-08:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-09:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-10:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-11:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-12:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-13:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-14:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-15:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-16:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-17:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-18:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-19:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-20:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-21:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-22:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-23:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-24:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-25:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-26:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-27:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-28:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
##
## Date 2020-05-29:
## Applying model YY_deaths ~ ZZ_perc_imm65 + PP
## offset: log(NC_cases)
## filt_cases = 1!
##
ggcovid(perc_imm65_deahts_cases, "date", nation = "it")
XX <- grep("XX", names(dat_it_cl), value = TRUE)
# XX <- XX[!XX %in% c("XX_total_beds") ]
dates_tostudy <- sort(unique(dat_it_cl$date))[52:length(unique(dat_it_cl$date))]
to_filt_cases <- 1
form_ps <- reformulate(termlabels = XX, response = "logitZZ_perc_imm65")
perc_imm65_cases_cases <- glm_pp(dat = dat_it_cl,
dates_tostudy = dates_tostudy,
filt_cases = to_filt_cases,
form = form_ps,
offset_f = "log(NP_total_pop)",
var_dep = "NC_cases",
var_int = "ZZ_perc_imm65",
quant = FALSE,
data_term = FALSE,
include_model = TRUE,
verbose = TRUE,
nation = "it"
)
##
## Date 2020-04-15:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-16:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-17:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-18:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-19:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-20:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-21:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-22:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-23:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-24:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-25:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-26:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-27:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-28:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-29:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-04-30:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-01:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-02:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-03:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-04:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-05:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-06:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-07:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-08:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-09:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-10:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-11:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-12:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-13:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-14:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-15:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-16:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-17:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-18:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-19:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-20:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-21:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-22:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-23:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-24:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-25:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-26:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-27:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-28:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
##
## Date 2020-05-29:
## Applying model NC_cases ~ ZZ_perc_imm65 + PP
## offset: log(NP_total_pop)
## filt_cases = 1!
##
ggcovid(perc_imm65_cases_cases, "date", nation = "it")